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Factors Affecting e-ID Public Acceptance: A Literature Review

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Electronic Government and the Information Systems Perspective (EGOVIS 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11709))

Abstract

This paper presents a literature review that has the main goal to examine what are the factors that are affecting eID public acceptance. We are specifically interested in the perspectives of end-users and the matter of their attitudes towards eID. Our search yielded a rather narrow but concrete range of sources. Among the main themes of interest presented in the literature, we identify factors that are further synthesized in twelve categories. Moreover, we interpret the factors in their original context which allows for understanding which of the factors are mentioned as either drivers, barriers, or both. Based on the analysis of scientific narratives, we point to disparities detected in the existing knowledge of influential factors of eID public acceptance and outline areas that require further research.

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Authors and Affiliations

  1. Information Systems Group, Tallinn University of Technology, Akadeemia tee 15A, 12169, Tallinn, Estonia

    Valentyna Tsap, Ingrid Pappel & Dirk Draheim

Authors
  1. Valentyna Tsap
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  2. Ingrid Pappel
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  3. Dirk Draheim
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Corresponding author

Correspondence to Valentyna Tsap .

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Editors and Affiliations

  1. Corvinus University of Budapest, Budapest, Hungary

    Andrea Kő

  2. National Research Council, Rome, Italy

    Enrico Francesconi

  3. Johannes Kepler University of Linz, Linz, Austria

    Gabriele Anderst-Kotsis

  4. Software Competence Center Hagenberg, Hagenberg im Mühlkreis, Austria

    A Min Tjoa

  5. Johannes Kepler University of Linz, Linz, Austria

    Ismail Khalil

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Tsap, V., Pappel, I., Draheim, D. (2019). Factors Affecting e-ID Public Acceptance: A Literature Review. In: Kő, A., Francesconi, E., Anderst-Kotsis, G., Tjoa, A., Khalil, I. (eds) Electronic Government and the Information Systems Perspective. EGOVIS 2019. Lecture Notes in Computer Science(), vol 11709. Springer, Cham. https://doi.org/10.1007/978-3-030-27523-5_13

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  • DOI: https://doi.org/10.1007/978-3-030-27523-5_13

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  • Online ISBN: 978-3-030-27523-5

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